2 papers
cs.AI2026
CODE-SHARP: Continuous Open-ended Discovery and Evolution of Skills as Hierarchical Reward Programs
Richard Bornemann, Pierluigi Vito Amadori, Antoine Cully
A core quality of general intelligence is the ability to open-endedly expand and evolve its set of mastered skills autonomously. While recent Foundation Model (FM) driven approache…
cs.MA2023
Emergence of Collective Open-Ended Exploration from Decentralized Meta-Reinforcement Learning
Richard Bornemann, Gautier Hamon, Eleni Nisioti +1
Recent works have proven that intricate cooperative behaviors can emerge in agents trained using meta reinforcement learning on open ended task distributions using self-play. While…